Discover what's new in the Neo4j community for the week of 18 November 2017, including projects around Russian Twitter Trolls and Natural Language Processing.

1. This Week in Neo4j
18th November 2017

2. The week's graph database news
in one handy slide deck!

3. Featured community member: Nicolas Mervaillie
@nmervaillie

4. Will Lyon shows how to retrieve the tweets of Twitter
accounts tied to Russia’s Internet Research Agency that
were involved in spreading fake
news. He imports the data into
Neo4j, writes queries to find out what they were tweeting
about, before putting a GraphQL API on top of the dataset.
Scraping Russian Twitter Trolls With Python, Neo4j, and GraphQL
lyonwj.com/2017/11/12/scraping-russian-twitter-trolls-python-neo4j/

5. Applying NLP and Entity Extraction To The Russian Twitter Troll
Tweets In Neo4j
lyonwj.com/2017/11/15/entity-extraction-russian-troll-tweets-neo4j/
Will Lyon shows how to use the Polyglot library to apply
Named Entity Extraction algorithm to tweets written by
Russian Twitter trolls and
discovers that the trolls are
mostly tweeting about Trump
and Clinton.

6. All about GRAND Stack: GraphQL, React, Apollo, and Neo4j
youtube.com/watch?v=Kz5HMIVgWK0

7. eBay ShopBot: Graph-powered Conversational Commerce
youtube.com/watch?v=hRpmIeJjx-Y
At GraphConnect NYC 2017 Ajinkya Kale of eBay discussed
their use of Neo4j as a backend to the AI technology in
eBay's virtual shopping
assistant: eBay ShopBot.

8. Relato Business Graph Database from Data.World into Neo4j
medium.com/@mesirii/quick-import-relato-business-graph-database-from-data-world-into-neo4j-1b9f16404951
Michael Hunger wrote a blog post in which he shows how
to import Russel Jurney‘s Relato Business Graph into Neo4j.
After importing the data he uses graph algorithms to find
the most influential companies
in terms of PageRank and
betweenness centrality.

9. If you liked this check out the blog post
https://neo4j.com/blog/this-week-neo4j-18-november-2017